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251 results for “herbicides”
Fig. 6 in Potential herbicidal effect of synthetic chalcones on the initial growth of sesame, Sesamum indicum L., and brachiaria, Urochloa decumbens (Stapf) R. D. Webster
Fig. 6. Percentage of growth inhibition/stimulus of root parts of brachiaria seedlings [Urochloa decumbens (Stapf)R.D. Webster] grown for five days in water solutions containing the chalcones, or analogues, or Glyphosate®, in comparison to the positive control (distilled water). The chalcones are identified in the figure 2. *Indicates a significant difference in relation to the control, p<0.05.
Fig. 3 in Potential herbicidal effect of synthetic chalcones on the initial growth of sesame, Sesamum indicum L., and brachiaria, Urochloa decumbens (Stapf) R. D. Webster
Fig. 3. Percentage of growth inhibition/stimulus of shoot parts of sesame seedlings (Sesamum indicum L.) grown for five days in water solutions containing the chalcones, or analogues, or Glyphosate®, in comparison to the positive control (distilled water). The chalcones are identified in figure 2. *Indicates a significant difference in relation to the control, p<0.05.
Data from: The experimental evolution of herbicide-resistance in Chlamydomonas reinhardtii results in a positive correlation between fitness in the presence and absence of herbicides
Pleiotropic fitness trade-offs will be key determinants of the evolutionary dynamics of selection for pesticide resistance. However, for herbicide resistance, empirical support for a fitness cost of resistance is mixed, and it is therefore also questionable what further ecological trade-offs can be assumed to apply to herbicide resistance. Here, we test the existence of trade-offs by experimentally evolving herbicide resistance in Chlamydomonas reinhardtii. Although fitness costs are detected for all herbicides, we find that, counterintuitively, the most resistant populations also have the lowest fitness costs as measured by growth rate in the ancestral environment. Furthermore, after controlling for differences in the evolutionary dynamics of resistance to different herbicides, we also detect significant positive correlations between resistance, fitness in the ancestral environment and cross-resistance to other herbicides. We attribute this to the highest levels of nontarget-site resistance being achieved by fixing mutations that more broadly affect cellular physiology, which results in both more cross-resistance and less overall antagonistic pleiotropy on maximum growth rate. Consequently, the lack of classical ecological trade-offs could present a major challenge for herbicide resistance management.
Fig. 4 in Phytotoxic meroterpenoids with herbicidal activities from the phytopathogenic fungus Pseudopestalotiopsis theae
Fig. 4. Experimental and calculated ECD spectra of 1–4 and 8.
Fig. 7 in Phytotoxic meroterpenoids with herbicidal activities from the phytopathogenic fungus Pseudopestalotiopsis theae
Fig. 7. Symptoms of 1–4 and 8 against the weed seeding growth of S. viridis.
Fig. 3 in Phytotoxic meroterpenoids with herbicidal activities from the phytopathogenic fungus Pseudopestalotiopsis theae
Fig. 3. Key NOE correlations of 1–5 and 8.
Fig. 6 in Phytotoxic meroterpenoids with herbicidal activities from the phytopathogenic fungus Pseudopestalotiopsis theae
Fig. 6. Effect of different specialized metabolites on seed germination of S. viridis.
Fig. 1 in Phytotoxic meroterpenoids with herbicidal activities from the phytopathogenic fungus Pseudopestalotiopsis theae
Fig. 1. Chemical structures of 1–8.
Fig. 2. Key 1H–1H in Phytotoxic meroterpenoids with herbicidal activities from the phytopathogenic fungus Pseudopestalotiopsis theae
Fig. 2. Key 1H–1H COSY, and HMBC correlations of 1–5 and 8.
Data from: Effects of biochar on fate and toxicity of herbicide fenoxaprop-ethyl in soil
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Data from: The experimental evolution of herbicide-resistance in Chlamydomonas reinhardtii results in a positive correlation between fitness in the presence and absence of herbicides
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Data from: Perinatal exposure to glyphosate and a glyphosate-based herbicide affect spermatogenesis in mice
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Data from: Herbicides and herbivory interact to drive plant community and crop-tree establishment
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Data from: The geographic mosaic of herbicide resistance evolution in the common morning glory, Ipomoea purpurea: evidence for resistance hotspots and low genetic differentiation across the landscape
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BOREAS TGB-07 Ambient Air Herbicide and Organochlorine Concentration Data
The BOREAS TGB-07 team measured the concentration and flux of several agricultural pesticides in air, rainwater, and dry deposition samples in order to determine the associated yearly deposition rates. This data set contains information on the ambient air concentration of seven herbicides [2,4-dichlorophenoxyacidic_acid (2,4-D), bromoxynil, dicamb, 2-methyl-4-chlorophenoxyacetic acid (MCPA), triallate, trifluralin, and diclop-methyl] known to appear in the atmosphere of the Canadian prairies. Also, the concentration of three herbicides (atrazine, alaclor and metolachlor), two groups of insecticides (lindane and breakdown products and dichlro-diphenyl-trichloroethane (DDT) and breakdown products), and several polychlorinated biphenyls commonly used in the central United States were measured. All of these chemicals are reported, in the literature, to be transported in the atmosphere. Many have been reported to occur in boreal and arctic food chains. The sampling was carried out from June 16 to August 13, 1993 and May 4 to July 20, 1994 at the BOREAS site in the Prince Albert National Park (Waskesiu).
BOREAS TGB-07 Rainwater Herbicide and Organochlorine Concentration Data
The BOREAS TGB-07 team measured the concentration and flux of several agricultural pesticides in air and rainwater samples in order to determine the associated yearly deposition rates. This data set contains information on the rainwater concentration of seven herbicides [2,4-dichlorophenoxyacidic_acid (2,4-D), bromoxynil, dicamb, 2-methyl-4-chlorophenoxyacetic acid (MCPA), triallate, trifluralin, and diclop-methyl] known to appear in the atmosphere of the Canadian prairies. Also, the concentration of three herbicides (atrazine, alaclor and metolachlor), two groups of insecticides (lindane and breakdown products and dichlro-diphenyl-trichloroethane (DDT) and breakdown products), and several polychlorinated biphenyls commonly used in the central United States were measured. All of these chemicals are reported, in the literature, to be transported in the atmosphere. Many have been reported to occur in boreal and arctic food chains. The sampling was carried out from June 16 to August 13, 1993 and May 4 to July 20, 1994 at the BOREAS site in the Prince Albert National Park (Waskesiu).
BOREAS TGB-07 Dry Deposition Herbicide and Organochlorine Flux Data
The BOREAS TGB-07 team measured the concentration and flux of several agricultural pesticides in air, rainwater, and dry deposition samples in order to determine the associated yearly deposition rates. This data set contains information on the dry deposition flux of seven herbicides [2,4-dichlorophenoxyacidic_acid (2,4-D), bromoxynil, dicamb, 2-methyl-4-chlorophenoxyacetic acid (MCPA), triallate, trifluralin, and diclop-methyl] known to appear in the atmosphere of the Canadian prairies. Also, the concentration of three herbicides (atrazine, alaclor and metolachlor), two groups of insecticides (lindane and breakdown products and dichlro-diphenyl-trichloroethane (DDT) and breakdown products), and several polychlorinated biphenyls commonly used in the central United States were measured. All of these chemicals are reported, in the literature, to be transported in the atmosphere. Many have been reported to occur in boreal and arctic food chains. The sampling was carried out from June 16 to August 13, 1993 and May 4 to July 20, 1994 at the BOREAS site in the Prince Albert National Park (Waskesiu).
Non-target site herbicide resistance is conferred by two distinct mechanisms in blackgrass (Alopecurus myosuroides)
GEO Series GSE162422. Alopecurus myosuroides. 15 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis indicates the involvement of herbicide-responsive and plant-pathogen interaction pathways in the development of resistance to ACCase inhibitors in Apera spica-venti
GEO Series GSE204788. Apera spica-venti. 2 samples. Type: Expression profiling by high throughput sequencing.
Transcript profiles of juvenile female brown trout exposed to glyphosate and Roundup herbicides.
GEO Series GSE56855. Salmo trutta. 45 samples. Type: Expression profiling by high throughput sequencing.
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